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Use of optimization tools for decision-making: accounting for externalities in the production of biobased plastics

Accounting for externalities in the production of biobased plastics
Authors: García-Velásquez, Carlos; van der Meer, Yvonne; Leduc, Sylvain;

Use of optimization tools for decision-making: accounting for externalities in the production of biobased plastics

Abstract

Plastic is one of the most versatile materials, but its production relies on fossil-based resources that have been linked to the increase in GHG emissions. In this sense, biobased plastics arise as an alternative to completely or partly substitute these fossil-based plastics. Nevertheless, it is still unclear if the use of biomass for the production of bioplastics can mitigate the environmental impact of fossil-based plastics and simultaneously provide economic benefits. The proper design of biomass supply chains plays an important role in the development of biobased plastics; however, economic criteria (e.g., maximization of revenues) is the most used parameter to optimize the supply chain, whereas environmental criteria are barely considered. For this purpose, we propose an optimization model that evaluates different supply chain configurations for the production of biobased polyethylene terephthalate (PET) using sugar beet and wheat. The optimization model accounts for the production costs and environmental costs through different methodologies, such as the Life Cycle Costing (LCC) and Life Cycle Assessment (LCA), respectively. We found that the production of biobased terephthalic acid (TPA) directly influences the economic profitability of 100% biobased PET. The selection of feedstock and carbon tax scenario play an important role in the development of biobased supply chains.

Proceedings of the 28th European Biomass Conference and Exhibition, 6-9 July 2020, Virtual, pp. 987-997

Country
Netherlands
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Keywords

Biopolymers, Supply Chain, Decision Support, Sugar Beet, Biomass, Life Cycle Assessment (LCA)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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